1987
DOI: 10.1016/0141-0229(87)90075-5
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Dielectric permittivity of microbial suspensions at radio frequencies: a novel method for the real-time estimation of microbial biomass

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Cited by 242 publications
(146 citation statements)
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“…[33][34][35][36] The permittivity of a cell suspension can be easily measured because a characteristic fall in permittivity, the b-dispersion (Figure 1), occurs with increasing frequency. The b-dispersion is caused by the polarization of cell membranes.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
See 1 more Smart Citation
“…[33][34][35][36] The permittivity of a cell suspension can be easily measured because a characteristic fall in permittivity, the b-dispersion (Figure 1), occurs with increasing frequency. The b-dispersion is caused by the polarization of cell membranes.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…6 In fact, its most commonly used definition is rather operational and might in some case also include necromass. 7 Consequently, many different methods are available for biomass determination. On the one hand, classical on-line biomass measurement techniques like the calculation of the oxygen uptake rate (OUR) or the CO 2 evolution rate (CER) give indirect information on the biomass content.…”
Section: Introductionmentioning
confidence: 99%
“…The underlying theory on the dielectric properties of biological cells has been extensively described elsewhere (Kell and Harris 1985;Harris et al 1987;Pethig and Kell 1987;Markx and Davey 1999). In summary, the permittivity of a cell suspension can be easily measured because a characteristic fall in its value, the b-dispersion, occurs with increasing frequency.…”
Section: Permittivity Measurements With the Fogale Biomass Systemmentioning
confidence: 99%
“…7 An important potential application of dielectric measurements on engineered tissues is the on-line and continuous measurement of the cell concentration and its distribution within a tissue construct. 8,9 An example of the on-line measurement of cell concentration in a tissue construct is shown in Figure 1.…”
Section: Characterization Of Cells and Tissues Using Electrical Technmentioning
confidence: 99%